Influence of biopolymer-vegetation interaction on soil hydro-mechanical properties under climate change: A review

Liu, Yifei; Ni, Junjun; Gu, Jiayu; Liu, Shusen; Huang, Yi; Sadeghi, Hamed

doi:10.1016/j.scitotenv.2024.176535

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.176535

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Influence of biopolymer-vegetation interaction on soil hydro-mechanical properties under climate change: A review

Yifei Liu,

Junjun Ni,

Jiayu Gu

et al.

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Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

Malashin,

Martysyuk,

Tynchenko

et al. 2024

Polymers

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The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques, applied across various stages of biopolymer production, enable the analysis of complex data generated throughout production, identifying patterns and insights not easily observed through traditional methods. As sustainable alternatives to petrochemical-based plastics, biopolymers present unique challenges due to their reliance on variable bio-based feedstocks and complex processing conditions. This review systematically summarizes the current applications of ML techniques in biopolymer production, aiming to provide a comprehensive reference for future research while highlighting the potential of ML to enhance efficiency, reduce costs, and improve product quality. This review also shows the role of ML algorithms, including supervised, unsupervised, and deep learning algorithms, in optimizing biopolymer manufacturing processes.

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Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

Malashin,

Martysyuk,

Tynchenko

et al. 2024

Polymers

View full text Add to dashboard Cite

show abstract

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Influence of biopolymer-vegetation interaction on soil hydro-mechanical properties under climate change: A review

Cited by 1 publication

References 141 publications

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

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